Stryker Corporation

Work Flexibility: Hybrid

As an Architect, AI Systems, you will lead the design, development, and implementation of internally built AI solutions leveraging Azure-based technologies, with a focus on Azure Vision, Azure Language, and Azure OpenAI Service. You will collaborate with cross-functional teams to understand business requirements, identify AI opportunities, and architect scalable and innovative solutions that drive business value. This role requires expertise in Azure AI services, software architecture, and strong leadership skills to guide and inspire the team towards successful AI initiatives.

Who we want:

Dedicated achievers. People who thrive in a fast-paced environment and will stop at nothing to ensure a project is complete and meets regulations and expectations.

Goal-oriented developers. Keeping the customer and requirements squarely in focus, people who deliver safe and robust solutions.

Motivated product launchers. People who bring strategic direction and drive for execution to ensure products are developed and launched with precision.

What you will do:

• Solution Architecture: Design end-to-end AI solutions leveraging Azure Vision, Azure Language, and Azure OpenAI Service, considering factors such as data ingestion, preprocessing, modeling, deployment, and monitoring.
• Technical Leadership: Provide guidance and leadership to AI development teams, driving best practices, architectural standards, and ensuring alignment with Azure AI capabilities and industry trends.
• Requirement Analysis: Collaborate with business stakeholders to gather requirements, understand use cases, and define AI solution objectives, ensuring alignment with business goals and priorities.
• Azure AI Implementation: Lead the implementation of AI solutions on Azure, including data integration, model development, integration with Azure services (e.g., Azure Cognitive Services, Azure Machine Learning), and deployment to Azure cloud environments.
• Custom Model Development: Develop custom machine learning models and algorithms using Azure Machine Learning, Azure Databricks, or other Azure-based tools, tailored to specific business needs and use cases.
• Integration and Orchestration: Integrate AI solutions with existing systems, applications, and data pipelines, leveraging Azure services such as Azure Data Factory, Azure Functions, and Azure Logic Apps for orchestration and automation.
• Performance Optimization: Optimize AI models and algorithms for performance, scalability, and efficiency, utilizing techniques such as distributed computing, parallel processing, and model tuning on Azure infrastructure.
• Security and Compliance: Ensure the security and compliance of AI solutions, adhering to Azure security best practices, data privacy regulations, and industry standards (e.g., GDPR, HIPAA).
• Monitoring and Maintenance: Implement monitoring and logging mechanisms to track the performance, reliability, and usage of AI solutions, and proactively identify and address issues to ensure uptime and availability.
• Documentation and Training: Create technical documentation, architecture diagrams, and best practice guidelines for AI development on Azure, and provide training and support to internal teams on Azure AI technologies and tools.

What you need:

• Bachelor's in Computer Science, Artificial Intelligence, Data Science, Engineering, Business, or equivalent field of study required.
• Master's degree in MIS, MBA or related disciplines preferred.
• 8+ years of experience in software engineering is required.
• 4+ years data engineering, or AI architecture roles, with a focus on building AI solutions on Azure preferred.
• Expertise in Azure AI services, including Azure Cognitive Services (Vision, Language, Speech), Azure Machine Learning, and Azure OpenAI Service preferred.
• Strong programming skills in languages such as Python, R, or C#, and proficiency in Azure cloud technologies (e.g., Azure Synapse Analytics, Azure Data Lake, Azure Kubernetes Service) preferred.
• Experience in designing and implementing machine learning models, natural language processing (NLP), computer vision applications, and other AI technologies preferred.
• Familiarity with DevOps practices, CI/CD pipelines, and infrastructure as code (IaC) tools for automated deployment and management of Azure resources preferred.
• Azure certifications such as Microsoft Certified: Azure AI Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert are a plus.
• Certifications in AI-related disciplines is preferred (e.g., AWS Certified Machine Learning Specialty, Microsoft Certified: Azure AI Engineer Associate).

Travel Percentage: 20%

Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer – M/F/Veteran/Disability.

Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.